Abnormal moving vehicle detection for driver assistance system in nighttime driving

2016 ◽  
Author(s):  
Cuong Nguyen Khac ◽  
Ju H. Park ◽  
S. M. Lee ◽  
Ho-Youl Jung
Keyword(s):  
Driver Assistance System ◽  
Vehicle Detection ◽  
Assistance System ◽  
Driver Assistance ◽  
Moving Vehicle ◽  
Nighttime Driving ◽  
Moving Vehicle Detection

A Driver-Assistance System for Large Vehicles Based on Pedestrian and Vehicle Detection

2014 ◽  
Vol 687-691 ◽  
pp. 3884-3888
Author(s):  
Xing Xing He ◽  
Lei Ding ◽  
Ping Wang ◽  
Fu Qiang Liu ◽  
Xin Hong Wang
Keyword(s):  
Detection Rate ◽  
Driver Assistance System ◽  
Vehicle Detection ◽  
Warning Signal ◽  
Assistance System ◽  
Detection Accuracy ◽  
Driver Assistance ◽  
Image Subtraction ◽  
Driving Assistance ◽  
Driving Assistance System

Apply driving assistance system to vehicles can significantly reduce accidences and thus attracts much interest nowadays. However, most existing systems are designed specifically for small vehicles and always suffer from drawbacks such as low pedestrian and vehicle detection accuracy and long detection time. To solve these issues, in this paper we develop a driver assistance system based on radar and camera, which can be applied to large vehicles and can detect vehicle and pedestrian simultaneously. Specifically, we combine the image subtraction technique and histogram algorithm to perform pedestrian and vehicle detection to improve detection rate. What’s more, this system can automatically determine whether the object is inside a danger region. If yes, an associated warning signal will be triggered to alarm the driver. Experimental results show that the successful detection rate is sufficiently good and the detecting speed is fast enough to timely alarm the driver to avoid accidents.

Vision-based multi-scaled vehicle detection and distance relevant mix tracking for driver assistance system

2015 ◽  
Vol 22 (2) ◽  
pp. 197-209 ◽  
Author(s):  
Qin Gu ◽  
Jianyu Yang ◽  
Yuqiang Zhai ◽  
Lingjiang Kong
Keyword(s):  
Driver Assistance System ◽  
Vehicle Detection ◽  
Assistance System ◽  
Driver Assistance

A New Driver-Assistance System Based on Laser and Camera

2011 ◽  
Vol 204-210 ◽  
pp. 1679-1684 ◽  
Author(s):  
Yan Li ◽  
Yuan Jie Wang ◽  
Fu Qiang Liu ◽  
Zhi Peng Li
Keyword(s):  
Driver Assistance System ◽  
Assistance System ◽  
Advanced Driver Assistance System ◽  
Driver Assistance ◽  
Moving Vehicle ◽  
The Real

In this paper, a new advanced driver assistance system based on a camera and a laser is presented, the aim of which is not only to detect pedestrians before the moving vehicle but also to give the exact distance between the pedestrians and the moving vehicle. At the same time, the system gives drivers forewarning by an EasyARM development board. The proposed system is tested in various environments and traffic situations. The results show that the error between the measuring distance and the real distance is smaller than 0.5m, the accuracy of detecting pedestrian is more than 90%, and the detecting speed can be 20 frames per second; furthermore, the system can give the driver useful signals in time in order to avoid collision.

Driver assistance system based on computer vision for vehicle detection

2004 ◽  
Vol 37 (8) ◽  
pp. 430-435 ◽  
Author(s):  
C. Hilario ◽  
J.M. Collado ◽  
J.M. Armingol ◽  
A. de la Escaleraxd
Keyword(s):  
Computer Vision ◽  
Driver Assistance System ◽  
Vehicle Detection ◽  
Assistance System ◽  
Driver Assistance

scholarly journals Design and Implementation of Driver Assistance System using Machine Learning

2020 ◽  
Vol 994 ◽  
pp. 012006
Author(s):  
D. S. Bhargava ◽  
N. Shyam ◽  
K. Senthil Kumar ◽  
M. Wasim Raja ◽  
P Sivashankar.
Keyword(s):  
Machine Learning ◽  
Driver Assistance System ◽  
Assistance System ◽  
Driver Assistance ◽  
Design And Implementation
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